Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage by Gang Li, Bingyu Sang, Wei Tang, Kecheng Li, Bin Xu, Zhihao Yang, Wei Ma, Yibin Tao

“…This paper proposes an improved nucleolus method-based rolling optimization operation method for RESs and SES to address operational uncertainties and ensure fair revenue distribution among RESs. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm by Jifeng ZHANG, Changjian CHEN, Yuteng LI, Xiran YOU, Ziben MA

“…The performance of the improved PSO algorithm was verified using the typical three-, five-, and seven-layered geoelectric models constructed in this study.Results and ConclusionsThe results of this study indicate that for the five- and seven-layered geoelectric models, the damped least squares method yielded average inversion errors of 0.34% and 4.68%, respectively, while the improved PSO algorithm yielded average inversion errors of 0.21% and 0.87%, respectively. …”
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Noise Reduction Method for Partial Discharge Fluorescence Fiber Sensors Based on Optimized Empirical Wavelet Transform by Chengyong Hu, Yi Huang, Chuanlu Deng, Ming Jia, Qi Zhang, Peng Wu, Yuncai Lu, Qun Li, Xiaobei Zhang, Tingyun Wang

“…A novel self-adaptive denoising method utilizing optimized empirical wavelet transform (EWT) is proposed to enhance the sensitivity of partial discharge (PD) fluorescence fiber sensors. …”
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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…The algorithm’s efficacy is evaluated through three benchmark problems, two planar (2D) frames and a three-dimensional (3D) space frame, with comparisons against established methods (e.g., particle swarm optimization, cuckoo search) and contemporary algorithms (e.g., marine predators algorithm, pelican optimization algorithm). …”
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Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques by Parmida Geranmayeh, Eckhard Grass

“…These technologies enhance wireless communication by leveraging deep neural networks and data-driven methods to optimize resource allocation, signal detection, and channel coding. …”
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Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay by Yaowei Wang, Xiangyu Li

“…In contrast, quasi-zero stiffness (QZS) isolators offer low dynamic stiffness near equilibrium while maintaining high static stiffness, thereby enabling superior isolation performance in the low and ultra-low frequency range. …”
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Mixing cubic quasi-interpolation spline collocation method and optimal control techniques to solve polyharmonic (p=2 and p=3) problem by L. El Houari, A. Naji, F. Ghafrani, M. Lamnii

“…This paper solves the polyharmonic equation for the cases p = 2 and p = 3, using an optimal control approach combined with the cubic quasi-interpolation spline collocation method. …”
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Multineutrosophic Analysis with the ARAS Method for Selecting Trading Strategies by Alberto Sánchez Pena, Yunisleydis García Ramírez, Irina Reyes Martinez, Tatiana María Velázquez Ramírez, Lisbet Eunice Pérez Anzardo

“…Deciding on optimal business solutions is a perennial problem for firms challenged by ever-changing market environments. …”
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An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning by Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang

“…Nevertheless, these defense methods demonstrate sub-optimal performance in retaining benign local models while discarding poisoned local models, primarily due to inadequate filtering strategies. …”
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An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

“…The system integrates advanced optimization techniques, including the Taguchi method, analysis of variance (ANOVA), back-propagation neural network (BPNN), and a hybrid particle swarm optimization–genetic algorithm (PSO-GA) approach to identify optimal process parameters. …”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…The paper concludes that while ISTA and FISTA significantly enhance EIT image reconstruction performance, the quality of the reconstructed images heavily depends on the choice of regularization methods and parameters, which are crucial to the reconstruction process.…”
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Methods integrating innate and adaptive immune responses in human in vitro immunization assays by Tetiana Y. Bowley, Kiersten D. Lenz, Apoorv Shanker, Jessica Z. Kubicek-Sutherland

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Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…The results indicate that: (1) the optimal projection eigenvalue of the comprehensive benefit evaluation is 1.860, and applying this method to evaluate the comprehensive benefits of prefabricated buildings yields more comprehensive and objective results; (2) the best projection vector values are ENB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9944) &#x003E; SB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9422) &#x003E; EB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.0272), indicating that environmental benefits have the greatest impact on the projection eigenvalue of comprehensive benefits, while economic benefits have the least impact; (3) there is a certain positive correlation between economic benefits and social benefits, while there is a certain negative correlation with environmental benefits.…”
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Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…Unique solutions are obtained by optimizing a cost function that targets an approximate solution obeying the laws of physics while simultaneously satisfying constraints that represent prior knowledge characterizing the expected result. …”
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Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios by Wacław Kuś, Waldemar Mucha, Iyasu Tafese Jiregna

“…This paper focuses on optimizing sensor placement in structures for load monitoring applications. …”
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A novel transcendental metaphor metaheuristic algorithm based on power method by Huiying Zhang, Hanshuo Wu, Yifei Gong, Xiao Pan, Qipeng Zhong

“…Abstract This paper proposes a novel metaheuristic algorithm-the Power Method Algorithm (PMA), which is inspired by the power iteration method to solve complex optimization problems. …”
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Overview of the Application of High-energy Fluidic Microfluidizer in Whole-component Food by Zihao CHEN, Taotao DAI, Lizhen DENG, Yingying KE, Zhaoping RUAN, Keping XU, Min FU, Chengmei LIU, Jun CHEN

“…Whole-component foods, as a food processing method to improve raw material utilization and meet consumer demand for healthy and balanced diets, face challenges such as nutrient loss, poor product stability, and poor sensory quality. …”
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Design approach for optimization of a piston ring profile considering mixed lubrication by Zhinan Zhang, Jun Liu, Youbai Xie

“…Abstract To reduce the friction of a piston ring while maintaining a large oil film load-carrying capacity, an approach comprising of the inverse method and the sequential quadratic programming algorithm was proposed. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, LIN Shimiao, LIU Jingzhe

“…As agriculture consumes approximately 62% of global water, optimizing agricultural water use is essential for sustainable resource management. …”
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